diff --git a/.pylintrc b/.pylintrc
index f6716c8..82eb633 100644
--- a/.pylintrc
+++ b/.pylintrc
@@ -296,7 +296,7 @@ ignored-parents=
 max-args=9
 
 # Maximum number of attributes for a class (see R0902).
-max-attributes=7
+max-attributes=18
 
 # Maximum number of boolean expressions in an if statement (see R0916).
 max-bool-expr=5
@@ -441,7 +441,10 @@ disable=raw-checker-failed,
         deprecated-pragma,
         use-symbolic-message-instead,
         use-implicit-booleaness-not-comparison-to-string,
-        use-implicit-booleaness-not-comparison-to-zero
+        use-implicit-booleaness-not-comparison-to-zero,
+        no-member, 
+        no-name-in-module
+
 
 # Enable the message, report, category or checker with the given id(s). You can
 # either give multiple identifier separated by comma (,) or put this option
diff --git a/mtcnn/metadata.py b/mtcnn/metadata.py
index 1e52c0f..4f3196e 100644
--- a/mtcnn/metadata.py
+++ b/mtcnn/metadata.py
@@ -21,4 +21,3 @@
 # SOFTWARE.
 
 __version__ = "1.0.0"
-
diff --git a/mtcnn/stages/base.py b/mtcnn/stages/base.py
index 30c6d2c..b202ac8 100644
--- a/mtcnn/stages/base.py
+++ b/mtcnn/stages/base.py
@@ -89,4 +89,3 @@ def __call__(self, *args, **kwargs):
         Raises:
             NotImplementedError: If the method is not implemented in a subclass.
         """
-        pass
diff --git a/mtcnn/utils/images.py b/mtcnn/utils/images.py
index 85be550..ffd36f2 100644
--- a/mtcnn/utils/images.py
+++ b/mtcnn/utils/images.py
@@ -258,7 +258,7 @@ def ensure_stack(images):
         images = pad_stack_np(images)
 
     # Broadcast to ensure the images have a consistent shape (batch dimension)
-    return np.broadcast_to(images, 
+    return np.broadcast_to(images,
                            [(len(images.shape) < 4) + (len(images.shape) >= 4) * images.shape[0],] + list(images.shape[len(images.shape) >= 4:]))
 
 
diff --git a/mtcnn/utils/plotting.py b/mtcnn/utils/plotting.py
index d9750bd..3dc6f49 100644
--- a/mtcnn/utils/plotting.py
+++ b/mtcnn/utils/plotting.py
@@ -167,7 +167,7 @@ def parse_color(color):
                                 int(f"{color[2]}{color[2]}", base=16)]) / 255
         if len(color) == 6:  # Full form hex color (#RRGGBB)
             color = np.asarray([int(f"{color[0]}{color[1]}", base=16),
-                                int(f"{color[2]}{color[3]}", base=16), 
+                                int(f"{color[2]}{color[3]}", base=16),
                                 int(f"{color[4]}{color[5]}", base=16)]) / 255
 
     return color
diff --git a/tests/test_mtcnn.py b/tests/test_mtcnn.py
index e191de1..1999699 100644
--- a/tests/test_mtcnn.py
+++ b/tests/test_mtcnn.py
@@ -47,7 +47,7 @@ def test_images():
     # Cargar los bytes de las imágenes
     with open(valid_image_path, "rb") as f:
         valid_image_bytes = f.read()
-    
+
     with open(no_faces_image_path, "rb") as f:
         no_faces_image_bytes = f.read()
 
@@ -75,6 +75,7 @@ def test_detect_faces_from_uri(mtcnn_detector, test_images):
     # Check bounding box in 'xywh' format by default
     assert len(first['box']) == 4, "Bounding box should contain 4 coordinates (X1, Y1, width, height)."
 
+
 def test_detect_faces_from_bytes(mtcnn_detector, test_images):
     """
     Test MTCNN detects faces and landmarks when given an image as bytes.
@@ -84,6 +85,7 @@ def test_detect_faces_from_bytes(mtcnn_detector, test_images):
     assert isinstance(result, list), "Output should be a list of bounding boxes."
     assert len(result) > 0, "Should detect at least one face in the image."
 
+
 def test_detect_no_faces(mtcnn_detector, test_images):
     """
     Test that MTCNN returns an empty list when no faces are detected in a valid image.
@@ -92,6 +94,7 @@ def test_detect_no_faces(mtcnn_detector, test_images):
     assert isinstance(result, list), "Output should be a list."
     assert len(result) == 0, "Should detect no faces in the image."
 
+
 def test_detect_faces_batch_from_uri(mtcnn_detector, test_images):
     """
     Test batch detection when passed a list of URIs.
@@ -105,6 +108,7 @@ def test_detect_faces_batch_from_uri(mtcnn_detector, test_images):
     assert isinstance(result[1], list), "Second result should be a list of bounding boxes."
     assert len(result[1]) == 0, "Second image should detect no faces."
 
+
 def test_detect_faces_batch_from_bytes(mtcnn_detector, test_images):
     """
     Test batch detection when passed a list of image byte arrays.